Joint PLDA for Simultaneous Modeling of Two Factors
The Journal of Machine Learning Research, Volume abs/1803.10554, Issue 24, 2019.
factor analysis language variability probabilistic linear discriminant analysis robustness to acoustic conditions speaker recognition
Probabilistic linear discriminant analysis (PLDA) is a method used for biometric problems like speaker or face recognition that models the variability of the samples using two latent variables, one that depends on the class of the sample and another one that is assumed independent across samples and models the within-class variability. In...More
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